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  • Search: person:"Reyners, Sofie"
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Year of publication
Subject
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Option pricing theory 5 Optionspreistheorie 5 Portfolio selection 4 Portfolio-Management 4 Artificial intelligence 3 Derivat 3 Derivative 3 Finanzmathematik 3 Künstliche Intelligenz 3 Mathematical finance 3 Corporate Social Responsibility 2 Corporate social responsibility 2 Hedging 2 Nachhaltige Kapitalanlage 2 Option trading 2 Optionsgeschäft 2 Sustainable investment 2 Bitcoin 1 Calibration 1 Cryptocurrency 1 Derivative pricing 1 ESG 1 ESG ratings 1 Electronic payment 1 Elektronisches Zahlungsmittel 1 Gaussian processes 1 Greenhouse gas emissions 1 Machine learning 1 Modellierung 1 Modelling 1 Regression analysis 1 Regressionsanalyse 1 Scientific modelling 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 Treibhausgas-Emissionen 1 Virtual currency 1 Virtuelle Währung 1
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Online availability
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Undetermined 5 Free 3
Type of publication
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Article 5 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5
Language
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English 8
Author
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Reyners, Sofie 8 Schoutens, Wim 8 Madan, Dilip B. 5 De Spiegeleer, Jan 4 Höcht, Stephan 2 Jakubowski, Daniel 2 Davis, Jesse 1 Devos, Laurens 1
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Published in...
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Quantitative finance 2 Digital finance : smart data analytics, investment innovation, and financial technology 1 Journal of sustainable finance & investment 1 The journal of computational finance 1
Source
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ECONIS (ZBW) 8
Showing 1 - 8 of 8
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ESG: a new dimension in portfolio allocation
De Spiegeleer, Jan; Höcht, Stephan; Jakubowski, Daniel; … - In: Journal of sustainable finance & investment 13 (2023) 2, pp. 827-867
Persistent link: https://www.econbiz.de/10014373512
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ESG : A New Dimension in Portfolio Allocation
De Spiegeleer, Jan; Höcht, Stephan; Jakubowski, Daniel; … - 2020
In this paper, we examine the impact of including environmental, social and governance (ESG) criteria in the allocation of equity portfolios. We focus on the risk and return characteristics of the resulting ESG portfolios and investment strategies. Two specific measures are considered to...
Persistent link: https://www.econbiz.de/10014352184
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Errata : Instantaneous Portfolio Theory
Madan, Dilip B.; Reyners, Sofie; Schoutens, Wim - In: Quantitative finance 22 (2022) 4, pp. 633-634
Persistent link: https://www.econbiz.de/10013367841
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Machine Learning for Quantitative Finance : Fast Derivative Pricing, Hedging and Fitting
De Spiegeleer, Jan - 2018
In this paper, we show how we can deploy machine learning techniques in the context of traditional quant problems. We illustrate that for many classical problems, we can arrive to speed-ups of several orders of magnitude by deploying machine learning techniques based on Gaussian process...
Persistent link: https://www.econbiz.de/10012917368
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MaMaMoMaMa : BTC Options
Madan, Dilip B. - 2018
In this paper, we investigate the behavior of the bitcoin (BTC) price through the vanilla options available on the market. We calibrate a series of Markov models on the option surface. In particular, we consider the Black-Scholes model, Laplace model, five Variance Gamma related models and the...
Persistent link: https://www.econbiz.de/10012911038
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Gradient boosting for quantitative finance
Davis, Jesse; Devos, Laurens; Reyners, Sofie; Schoutens, Wim - In: The journal of computational finance 24 (2021) 4, pp. 1-40
Persistent link: https://www.econbiz.de/10012544161
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Advanced model calibration on bitcoin options
Madan, Dilip B.; Reyners, Sofie; Schoutens, Wim - In: Digital finance : smart data analytics, investment … 1 (2019) 1/4, pp. 117-137
Persistent link: https://www.econbiz.de/10012223870
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Machine learning for quantitative finance : fast derivative pricing, hedging and fitting
De Spiegeleer, Jan; Madan, Dilip B.; Reyners, Sofie; … - In: Quantitative finance 18 (2018) 10, pp. 1635-1643
Persistent link: https://www.econbiz.de/10012259802
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